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Python Kubernetes Software Engineer Data Jobs in Washington, DC

Our system is built on Rust, Python, Kubernetes, Django, and Postgres to drive performance across ... You love solving distributed systems problemsworkload orchestration, data throughput, performance ...

Apply Early

... large data sets, real-time systems, and business management information systems) based upon ... Container (Docker) Build and Infrastructures, Kubernetes, Software Configuration Management tools ...

Python Software Engineer

Arlington, VA · On-site

$90K - $210K/yr

You will collaborate with a teams of engineers and data scientists to design, develop, and deliver ... Experience with Docker, Docker-compose, or Kubernetes * Familiarity with Agile development ...

Sr. Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

Languages: Scala, Golang, Python Tools: Jenkins, Snowflake, Databricks, AWS, Lead software engineer/data engineer with experience in popular data tools such as Databricks and Snowflake. Have the ...

Software Engineer/Data Manager

Washington, DC · On-site

$129K - $155K/yr

Software Engineer/Data Manager Location(s): Quantico, VA Hours: Regular Full-Time Clearance ... e.g., Python, Java, C++; Share Point, PowerPoint, Visual Studio). * Senior level contractor ...

Software Engineer/Data Manager

Alexandria, VA · On-site

$122K - $147K/yr

Software Engineer/Data Manager Location(s): Quantico, VA Hours: Regular Full-Time Clearance ... e.g., Python, Java, C++; Share Point, PowerPoint, Visual Studio). * Senior level contractor ...

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Python Kubernetes Software Engineer Data information

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Senior Software Engineer, Back End

Senior Software Engineer, Back End

Sedaro Corporation

Arlington, VA

$141K - $185K/yr

Full-time

Medical, Retirement, PTO

Posted 9 hours ago


Job description

Overview

Sedaro is hiring a Senior Software Engineer to architect our workflow orchestration system. Proliferating satellite constellationsrequire optimization studies involving unprecedented scale and complexity. You will build the execution engine that enables aerospace teams to run massive simulation campaigns-exploring vast design spaces with the flexibility to handle evolving mission requirements.

  • Team: Platform Services, reporting to the team lead
  • Location: In person in Arlington, VA
  • U.S. Citizen or permanent resident status required


Who We Are

Our cloud-native simulation platform enables digital mission engineering through distributed, scalable, faster than real-time analyses across hundreds of interacting systems. Our system is built on Rust, Python, Kubernetes, Django, and Postgres to drive performance across clouds. Join us as an early employee and transform how teams collaboratively engineer next-generation Aerospace & Defense systems.


Who You Are

  • You love solving distributed systems problems-workload orchestration, data throughput, performance optimization
  • You thrill in building power tools that multiply what engineers can accomplish
  • You're comfortable with ambiguity and prefer rapid iteration over lengthy planning
  • You're excited to work at the intersection of software and physical systems alongside aerospace, embedded, and platform engineers


WhatYou'll Do

  • Architect Lean solutions with impactful incremental deliverables
  • Optimize multi-cloud systems for performance, reliability, and cost efficiency
  • Design and implement system observability with actionable alerting and measurable SLOs
  • Drive operational excellence through infrastructure as code, CI/CD, and observability practices
  • Lead root cause analysis and blameless post-mortem discussions
  • Foster a culture of learning, empowerment, and achievement


Benefits

  • Equity
  • Unlimited PTO
  • 401(k) with 4% match
  • 100% premium payment for Medical Insurance
  • Parental Leave
  • Flexible work schedule with core hours
  • Company provided lunches 3 days a week
  • Industry-leading career development opportunities


Requirements

  • Bachelor's degree in computer science or equivalent experience
  • 6+ years of professional experience in software engineering
  • Experience with containerization, container orchestration, and event streams
  • Experience with relational and key-value databases
  • Experience designing and implementing APIs
  • Experience driving performance through observability and/or root cause analysis
  • Proficiency in at least one server-side programming language